The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
ECharts: A declarative framework for rapid construction of web-based visualization
Open accessAbstract
While there have been a dozen of authoring systems and programming toolkits for visual design and development, users who do not have programming skills, such as data analysts or interface designers, still may feel cumbersome to efficiently implement a web-based visualization. In this paper, we present ECharts, an open-sourced, web-based, cross-platform framework that supports the rapid construction of interactive visualization. The motivation is driven by three goals: easy-to-use, rich built-in interactions, and high performance. The kernel of ECharts is a suite of declarative visual design language that customizes built-in chart types. The underlying streaming architecture, together with a high-performance graphics renderer based on HTML5 canvas, enables the high expandability and performance of ECharts. We report the design, implementation, and applications of ECharts with a diverse variety of examples. We compare the utility and performance of ECharts with C3.js, HighCharts, and Chart.js. Results of the experiments demonstrate the efficiency and scalability of our framework. Since the first release in June 2013, ECharts has iterated 63 versions, and attracted over 22,000 star counts and over 1700 related projects in the GitHub. ECharts is regarded as a leading visualization development tool in the world, and ranks the third in the GitHub visualization tab.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
Bostock, M., Ogievetsky, V., & Heer, J. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.185 · Cited by 3,165
Vega-Lite: A Grammar of Interactive Graphics
Satyanarayan, A., Moritz, D., Wongsuphasawat, K., & Heer, J. (2017) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2016.2599030 · Cited by 883
prefuse: a toolkit for interactive information visualization
Heer, J., Card, S. K., & Landay, J. A. (2005) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1054972.1055031 · Cited by 802
ManyEyes: a Site for Visualization at Internet Scale
Viegas, F. B., Wattenberg, M., van Ham, F., Kriss, J., & McKeon, M. (2007) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2007.70577 · Cited by 720
Wilkinson, L. (2010) · WIREs Computational Statistics · doi:10.1002/wics.118 · Cited by 712
Polaris: a system for query, analysis, and visualization of multidimensional relational databases
Stolte, C., Tang, D., & Hanrahan, P. (2002) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/2945.981851 · Cited by 629
Wickham, H. (2010) · Journal of Computational and Graphical Statistics · doi:10.1198/jcgs.2009.07098 · Cited by 389
Protovis: A Graphical Toolkit for Visualization
Bostock, M., & Heer, J. (2009) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2009.174 · Cited by 321 · cited 3×
“On the other side, those declarative, domain specific languages (DSL) for information visualization, including ProtoVis [21, 22], D3.”
BackgroundReactive Vega: A Streaming Dataflow Architecture for Declarative Interactive Visualization
Satyanarayan, A., Russell, R., Hoffswell, J., & Heer, J. (2016) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2467091 · Cited by 274
Cited by
Xiong, G., Yang, Z., Yi, J., Wang, N., Wang, L., Zhu, H., Wu, C., Lu, A., Chen, X., Liu, S., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkab880 · Cited by 133
Metadata
- Authors
- Li, D., Mei, H., Shen, Y., Su, S., Zhang, W., Wang, J., Zu, M., & Chen, W.
- Venue
- Visual Informatics
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 2
- Issue
- 2
- Pages
- 136-146
- ISSN
- 2468-502X (ISSN-L)
- OpenAlex
- W2803317679
- Cited by
- 313
- References
- 26
- FWCI
- 11.96
- Type
- journal article
- Language
- en
- Open access
- diamond
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: ECharts: A declarative framework for rapid construction of web-based visualization. https://app.cochat.ai/papers/10.1016/j.visinf.2018.04.011
- The paper
- Li, D., Mei, H., Shen, Y., Su, S., Zhang, W., Wang, J., Zu, M., & Chen, W. (2018). ECharts: A declarative framework for rapid construction of web-based visualization. Visual Informatics. https://doi.org/10.1016/j.visinf.2018.04.011
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.